US US12711759B1
[0000] A method, and a system for automatic classification of land use and land cover includes capturing remote sensing (RS) images by a sensor on an unmanned aerial vehicle (UAV). The method includes transmitting the RS images by UAV communication circuitry. The method includes receiving the RS images by server communication circuitry and storing the RS images in memory. The method includes iteratively training, by a machine learning engine, a deep learning network that integrates an input layer, at least one residual block, inception blocks, bottleneck blocks and inverted bottleneck blocks, dense blocks, and at least one squeeze-excitation block. The method includes inputting the RS images, preventing a training gradient from vanishing, extracting features at multiple scales, balancing computational cost, and promoting reuse of the extracted features. The method includes determining, by a softmax layer, at least one class label and a respective confidence score.
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